Oncology TR Scientist Intern

Johnson & Johnson Innovative Medicine•Spring House, PA

5d•Hybrid

About The Position

The Oncology Translational Research (TR) Scientist Intern joins a team developing new therapeutics, biomarkers, and precision medicine strategies for oncology clinical trials. The internship is designed to give undergraduate and graduate students experience in pharmaceutical research and development and an understanding of the science and process of novel drug development. Interns may explore disease biology, identify therapeutic approaches and drug targets, investigate mechanisms of action, and study biomarkers of response and resistance. Students in computational biology may develop methods to analyze omics data for program-specific questions. Lab-based interns may train on relevant technology platforms and analytical methods, and may receive guidance in experimental planning, execution, and troubleshooting. The work may involve extensive collaboration with global, cross-functional colleagues. Interns are assigned a mentor and present their work to project teams and Oncology senior leadership. They also prepare and present a poster or abstract about their primary research project at the annual global summer intern research symposium. The internship is a full-time opportunity expected to last approximately 12 weeks, from May 10 through August 13, 2027. Non-lab-based interns follow a hybrid schedule, reporting onsite three days per week and working remotely two days per week.

Requirements

Be legally and permanently authorized to work in the United States without requiring employment-visa sponsorship; communicate any Curricular Practical Training (CPT) requirements at application.
Remain enrolled in an accredited college or university throughout the internship and not graduate before, during, or after the program’s start or end.
Be an undergraduate student who has completed at least four semesters by the program start, or be a graduate student.
Have a minimum cumulative GPA of 3.0 across college coursework and be a student in good standing pursuing an undergraduate or graduate degree.
Have experience in or be pursuing a degree in biology, translational research or computational biology, cell or molecular biology, biochemistry, genetics, immunology or immuno-oncology, precision medicine and diagnostics, or a similar field.
Graduate students must be pursuing a master’s or PhD degree.
Be self-motivated and passionate about drug development and clinical research.
Have strong organizational and attention-to-detail skills.
Have leadership skills and the ability to contribute to internship initiatives and events.
Be fluent in written and spoken English, with strong interpersonal, verbal, written, and presentation skills.
Be able to lead peers and project teams and present to project and senior leadership teams.
Be collaborative, enthusiastic, and able to build relationships and work in global, matrixed, cross-functional teams.
Be able to analyze data using coding-based analytical platforms such as R or Python.
Be able to balance multiple project deliverables.
Have working knowledge of or experience with Slack and Microsoft business applications, including Excel, OneNote, Outlook, PowerPoint, SharePoint, Teams, and Word.

Nice To Haves

Leadership or participation in campus programs and/or service programs is desired.

Responsibilities

Design and execute experiments.
Participate in department, team, and cross-functional meetings.
Attend the “Bench to Bedside” Lecture Series to learn about drug development and clinical research.
Collect and record data, including hypothesis-driven data mining.
Assess pharmacodynamic effects and patient responses to interventions to support clinical-trial decisions, patient stratification, and pharmacodynamic monitoring in in-vitro assays.
Shadow functional roles for learning and development.
Assist with interpreting, reporting, and preparing oral and written product-research results with senior clinical personnel.
Work with a physician or clinical scientist to support ongoing or planned clinical studies.
Work with a biomarker scientist or computational biologist on research or biomarker strategy development, including assay development, analysis, or logistical support for clinical studies.
Work on target-validation and patient-stratification projects using multiomics datasets, such as genetics, transcriptomics, and proteomics.
Review literature on disease-specific biology and related technologies.
Interpret, report, and prepare oral and written analysis results with a mentor and colleagues.
Take leadership roles in internship program activities or group projects.
Prepare and present an abstract or poster at the organization-wide annual research symposium.
Complete other projects as assigned.